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master's thesis
Predviđanje potražnje u opskrbnom lancu
Diplomski rad
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Economics in Osijek, 2022. urn:nbn:hr:145:171840
Živikić, Matej
Josip Juraj Strossmayer University of Osijek
Faculty of Economics and Business in Osijek

Institutional repository: EFOS REPOSITORY

Cite this document

Živikić, M. (2022). Predviđanje potražnje u opskrbnom lancu : Diplomski rad (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:145:171840

Živikić, Matej. "Predviđanje potražnje u opskrbnom lancu : Diplomski rad." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, 2022. https://urn.nsk.hr/urn:nbn:hr:145:171840

Živikić, Matej. "Predviđanje potražnje u opskrbnom lancu : Diplomski rad." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, 2022. https://urn.nsk.hr/urn:nbn:hr:145:171840

Živikić, M. (2022). 'Predviđanje potražnje u opskrbnom lancu : Diplomski rad', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, accessed 23 November 2024, https://urn.nsk.hr/urn:nbn:hr:145:171840

Živikić M. Predviđanje potražnje u opskrbnom lancu : Diplomski rad [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek; 2022 [cited 2024 November 23] Available at: https://urn.nsk.hr/urn:nbn:hr:145:171840

M. Živikić, "Predviđanje potražnje u opskrbnom lancu : Diplomski rad", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, Osijek, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:145:171840

Metadata
TitlePredviđanje potražnje u opskrbnom lancu : Diplomski rad
Title (english)Demand forecasting in supply chain : Graduate paper
AuthorMatej Živikić
MentorDavor Dujak (mentor)
Committee memberJosip Mesarić (predsjednik povjerenstva)
Committee memberMartina Briš Alić (član povjerenstva)
Committee memberDavor Dujak (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Economics and Business in Osijek
Osijek
Defense date and country2022-09-26, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Organization and Management
Abstract
Zbog sve veće nestabilnosti tržišta i ponude proizvoda na tržištu, tvrtke pridodaju veću pažnju prognoziranju potražnje njihovih proizvoda. Kvalitetno napravljena prognoza je temelj uspješnosti poslovanje jer samo ona može dovesti do smanjenja troškova zaliha ili troška izgubljene prodaje. Važan je balans između kvantitativnih i kvalitativnih metoda jer samo uključivanjem i događaja iz okoline koje povijesni podaci ne poznaju, može se stvoriti dobra prognoza. Prognoze su rijetko savršene i svaka u sebi sadrži određenu mjeru pogreške koju je bitno smanjiti vremenom i stalnim doradama. Kako bi se prognoza potražnje kvalitetno provela u djelo, potrebno je dobro agregatno planiranje koje je sastavni dio procesa svakog poslovanja. U agregatnom planiranju tvrtka može odabrati strategiju stabilne razine, gdje će proizvodnja biti jednaka kroz sva razdoblja, strategiju slijeđenja tržišta gdje promjenom kapaciteta proizvodnje prati potražnju ili njihovu kombinaciju, odnosno hibridnu strategiju. U radu su kroz teoriju objašnjene metode vremenske serije i uz njihovu pomoć stvorene su prognoze na prikupljenim podacima korištenjem devet kvantitativnih metoda.
Abstract (english)
Due to the increasing instability of the market and the supply of products on the market, companies are paying more attention to forecasting the demand for their products. A well-made forecast is the basis of successful business because only it can lead to a reduction in inventory costs or the cost of lost sales. A balance between quantitative and qualitative methods is important, because only by including events from the environment that historical data do not know, a good forecast can be created. Forecasts are rarely perfect and each one contains a certain amount of error that must be reduced with time and constant refinements. In order to effectively implement the demand forecast, good aggregate planning is necessary, which is an integral part of the process of every business. In aggregate planning, the company can choose a stable level strategy, where production will be the same throughout all periods, a market tracking strategy, where it follows demand by changing the production capacity, or a combination of them, i.e. a hybrid strategy. In this paper we explain theory of time series methods and with their help we create forecasts on collected data using nine quantitative methods.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:145:171840
Study programmeTitle: Business economy; specializations in: Trade and logistics, Management, Logistic management , Business informatics
Course: Logistic management
Study programme type: university
Study level: graduate
Academic / professional title: Magistar/magistra ekonomije (Magistar/magistra ekonomije)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-06-29 15:36:26